Phase-Field Simulations with the Grand Potential Approach

M. Seiz (), P. Hoffrogge, H. Hierl, A. Reiter, D. Schneider and B. Nestler
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M. Seiz: Institute of Applied Materials (IAM), Karlsruhe Institute of Technology (KIT)
P. Hoffrogge: Institute of Applied Materials (IAM), Karlsruhe Institute of Technology (KIT)
H. Hierl: Institute of Applied Materials (IAM), Karlsruhe Institute of Technology (KIT)
A. Reiter: Hochschule Karlsruhe Technik und Wirtschaft, Institute of Digital Materials
D. Schneider: Institute of Applied Materials (IAM), Karlsruhe Institute of Technology (KIT)
B. Nestler: Institute of Applied Materials (IAM), Karlsruhe Institute of Technology (KIT)

A chapter in High Performance Computing in Science and Engineering '20, 2021, pp 561-577 from Springer

Abstract: Abstract Simulations have become a powerful tool for understanding physical processes and help the development of new products. Many of these new products rely on controlling the properties of their materials precisely. These properties are closely linked to the inner microstructure of the material, which the phase-field method can predict. Based on a grand potential approach, several results from different processes will be shown. Additionally, optimizations for one kind of process will be discussed and their effect on the performance and scalability shown.

Keywords: Phase-field; Simulation; Vectorization; Parallel scaling; Freeze-casting; Sintering; SOFC (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-80602-6_37

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DOI: 10.1007/978-3-030-80602-6_37

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